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Record W2071228216 · doi:10.5539/mas.v8n6p258

A Novel of Suspended Plate Compact Antenna Design for 2.4 GHz Applications

2014· article· en· W2071228216 on OpenAlexvenueno aff
Muhammad Abdullah, R. Mardeni

Bibliographic record

VenueModern Applied Science · 2014
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsnot available
FundersMultimedia University
KeywordsComputer scienceMiniaturizationReturn lossMicrostrip antennaPatch antennaAntenna (radio)ISM bandWirelessElectronic engineeringAntenna efficiencyElectrical engineeringTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

In wireless communication system, one of the unique challenges is the requirement for smaller and cheaper antenna design that becomes an important aspect in the deployment of wireless enabled products. To meet this challenge, we developed a simple, small, compact, low cost, and practical antenna targeted for 2.4 GHz (ISM Band) application. A detailed investigation on miniaturized microstrip planar new antenna design using a combination of proposed shorted patch and meandering method are presented. All design and simulations were done using Agilent’s Advanced Design System (ADS) Momentum. To ensure the precision, verification has been done, designs were fabricated, and measurements on return loss and impedance bandwidth were performed by using FieldFox RF Analyzer. In realizing the design, a study on the surface current is conducted by simulation in order to maintain the target resonance frequency, 2.45 GHz. The designs have resulted in 86.5% and 95.5% size reduction, in comparison with a conventional rectangular patch antenna which is used as benchmark in this work. The performance of the proposed antenna is proven to be better than other existing miniaturization techniques such as the meandered line antenna (MLA) at the same size. Further improvement on radiation characteristic is also achieved by implementing Suspended Plate Antenna (SPA) approach. From the significant size reduction obtained, the concept used in this work would be suitable for cost centric products requiring small sized wireless module.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.948
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.243
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2014
Admission routes1
Has abstractyes

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